Leah wants to sample students from universities across Canada. She groups the universities by region and then samples from each subgroup. Which of the following types of sampling s... Leah wants to sample students from universities across Canada. She groups the universities by region and then samples from each subgroup. Which of the following types of sampling strategies is Leah most likely using?
Understand the Problem
The question describes a sampling method where Leah divides universities into regions (groups or clusters) and then samples from each of those regions. We need to identify which sampling strategy best fits this description from the given options.
Answer
Stratified sampling
Leah is most likely using stratified sampling. This is because she divides the universities into regional subgroups (strata) and then samples from each of these subgroups.
Answer for screen readers
Leah is most likely using stratified sampling. This is because she divides the universities into regional subgroups (strata) and then samples from each of these subgroups.
More Information
Stratified sampling is a probability sampling technique where the researcher divides the entire population into different subgroups or strata, then randomly selects the final subjects proportionally from the different strata.
Tips
Students may confuse stratified sampling with cluster sampling. In stratified sampling, samples are taken from each subgroup, while in cluster sampling, entire subgroups (clusters) are randomly selected.
Sources
- Types of sampling methods | Statistics (article) - Khan Academy - khanacademy.org
- Sampling Methods | Types, Techniques & Examples - Scribbr - scribbr.com
- How Stratified Random Sampling Works, With Examples - investopedia.com
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